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import torch
from .basic_loss import *
from .loss_utils import *


class ScaleLoss(MeanLossModule):
    def __init__(self, sparse=False, error_fn=charbonnier, error_name='ScaleLoss'):
        super().__init__(sparse=sparse, error_fn=error_fn, error_name=error_name)
charbonnier_scale_loss = ScaleLoss

class ScaleDiff(MeanLossModule):
    def __init__(self, sparse=False, error_fn=abs_diff, error_name='ScaleDiff'):
        super().__init__(sparse=sparse, error_fn=error_fn, error_name=error_name)
scale_abs_loss = ScaleDiff

class SmoothL1ScaleLoss(MeanLossModule):
    def __init__(self, sparse=False, error_fn=smooth_l1_loss, error_name='SmoothL1ScaleLoss'):
        super().__init__(sparse=sparse, error_fn=error_fn, error_name=error_name)
scale_loss = smooth_l1_norm_scale_loss = ScaleLoss

